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- Tasks: Lead the development of innovative AI solutions that transform energy systems.
- Company: Join a forward-thinking organisation dedicated to sustainable energy solutions.
- Benefits: Enjoy competitive salary, generous holiday, health benefits, and pension matching.
- Why this job: Make a real impact on the future of energy while advancing your AI skills.
- Qualifications: Experience with AI platforms, Python, SQL, and stakeholder engagement required.
- Other info: Remote work with opportunities for career growth in a dynamic environment.
The predicted salary is between 60000 - 70000 £ per year.
Location: Remote
Salary: £60-70k + Bonus + Benefits
Job Type: Permanent
Sponsorship: Not Available
Choosing to work here means choosing to make a difference. The organisation is changing how businesses and consumers use energy for the better, helping to achieve a greener, more sustainable, and more affordable energy system for everyone. Through a range of innovative energy solutions, it is delivering the future of smart energy and working closely with private and public sector partners to play a critical role in transforming and decarbonising the UK economy by 2050.
What’s the role?
Step into a role where strategy meets engineering excellence. As a Lead AI Engineer, you will be the driving force behind turning bold business opportunities into production-ready AI solutions. You will shape intelligent agents, craft next-generation conversational experiences using modern AI tooling, and architect a semantic layer that ensures models deliver accurate, trusted insights every time. If you’re ready to take ownership of an organisation’s AI future and build the systems that make it real, this role offers a genuine platform to do so.
Key Responsibilities:
- AI Solution Development & Agent Building: Design, build, and deploy low-code and pro-code AI agents to automate business workflows (e.g. HR queries, IT support, operational data retrieval). Develop custom Retrieval-Augmented Generation (RAG) solutions to enable large language models to reason over proprietary documents and data. Integrate AI agents with enterprise systems (e.g. CRM, collaboration tools, operational platforms) via APIs and automation connectors.
- Semantic Modelling & AI Workspace Curation: Own the creation and maintenance of AI semantic workspaces, translating complex database schemas into business-friendly models. Define and govern standard metrics, dimensions, and synonyms to ensure AI systems 'speak the language of the business'. Continuously monitor AI answer quality, using human feedback to refine semantic models and improve accuracy over time.
- Business Engagement & Prototyping: Partner with business stakeholders across finance, operations, and commercial teams to translate high-level use cases into technical requirements. Rapidly prototype AI solutions to demonstrate value and accelerate adoption. Act as a technical evangelist, enabling non-technical users to interact effectively with AI tools and insights.
- AI Operations (LLMOps) & Governance: Implement monitoring frameworks to track cost, latency, and quality of AI outputs. Ensure AI solutions comply with organisational data governance and security standards, including preventing data leakage via LLMs. Manage the full lifecycle of AI models and agents from development through production and retirement.
What We’re Looking For:
- Strong hands-on experience with modern cloud data and AI platforms, including AI agent tooling, analytics platforms, and semantic layers.
- Strong stakeholder engagement experience with the skill-set of being able to translate complex requirements to the board and senior team members.
- Proven ability to design analytics-ready data models and metrics layers.
- Practical experience with large language models (LLMs), prompt engineering, and RAG architectures.
- Proficiency in Python (data manipulation, API interaction) and SQL data modelling.
- Experience working with REST APIs and integrating multiple business systems.
- Ability to clearly explain complex AI concepts to non-technical stakeholders and translate feedback into production-quality solutions.
What’s in it for you?
- 25 personal holiday days per year (plus 8 public holidays), increasing to 30 days after 5 years of service (with buy/sell options).
- Enhanced maternity, paternity, and adoption leave.
- 24/7 free and confidential employee assistance service.
- Health benefits plan offering cashback on everyday healthcare (optical, dental, physio), discounted gym memberships, and free 24/7 online GP access.
- Life insurance (4 annual salary).
- Pension matching scheme (up to 5% of salary).
Lead AI Engineer employer: 83zero Limited
Contact Detail:
83zero Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and solutions. Whether it's GitHub repos or case studies, let your work speak for itself. We want to see how you’ve turned ideas into real-world applications!
✨Tip Number 3
Prepare for those interviews! Research the company and its mission to transform energy systems. We suggest practising common interview questions, especially around AI and stakeholder engagement, so you can confidently demonstrate your expertise.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining us on this exciting journey towards a greener future.
We think you need these skills to ace Lead AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead AI Engineer role. Highlight your hands-on experience with AI platforms and your ability to engage with stakeholders. We want to see how you can bring value to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how you can contribute to our vision of a greener energy system. Be genuine and let your personality come through!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Share examples of AI solutions you've developed or any innovative approaches you've taken. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at 83zero Limited
✨Know Your AI Stuff
Make sure you brush up on your knowledge of modern AI platforms and tools. Be ready to discuss your hands-on experience with AI agents, large language models, and how you've integrated these into business systems. This will show that you're not just familiar with the theory but can apply it in real-world scenarios.
✨Speak Their Language
Since you'll be working closely with stakeholders from various departments, practice explaining complex AI concepts in simple terms. Think about how you can translate technical jargon into business-friendly language. This will demonstrate your ability to bridge the gap between tech and business needs.
✨Showcase Your Prototyping Skills
Prepare to discuss any rapid prototyping you've done in the past. Bring examples of how you've turned high-level use cases into tangible AI solutions. This will highlight your ability to deliver value quickly and effectively, which is crucial for this role.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the company's mission and the role's impact on their goals. Inquire about their current AI projects or challenges they face in implementing AI solutions. This not only shows your enthusiasm but also helps you gauge if the company aligns with your values.
